I’m currently an Invited Assistant Professor in Data Science at NOVA IMS (Universidade Nova de Lisboa - Information Management School). Previously I was a postdoctoral associate at the Collective Learning group in the MIT Media Lab.
My research combines theoretical (computer simulations and mathematical modelling of multi-agent systems) and empirical (data extraction and data analysis) approaches to understand the impact of the network structure of socio-economic systems in their functioning. In particular, my research focuses in (i) understand of such networks affect the dynamical processes underlying the spreading of information, diseases, opinions and behaviors, and how these structures; and (ii) how they bound agents decision-making process when these agents overlook a networked system and take actions over its elements.
I hold a BSc and MSc in Physics from the University of Lisbon (Portugal) and a Ph.D. in Physics from the University of Minho (Portugal). During my Ph.D. I have collaborated closely with the GAIPS/INESC-ID (Lisbon) and been a Visiting Graduate Student at the MIT Media Lab Macro Connections/Collective Learning Group.
Vasconcelos, Vítor V., Simon A. Levin, and Flávio L. Pinheiro. “Consensus and polarization in competing complex contagion processes.” Journal of the Royal Society Interface 16, no. 155 (2019): 20190196 https://royalsocietypublishing.org/doi/abs/10.1098/rsif.2019.0196
Ribeiro, Ana Sofia, Flávio L. Pinheiro, Francisco C. Santos, Amélia Polónia, and Jorge M. Pacheco. “Structural and temporal patterns of the first global trading market.” Royal Society open science 5, no. 8 (2018): 180577. https://royalsocietypublishing.org/doi/full/10.1098/rsos.180577
Alshamsi, Aamena, Flávio L. Pinheiro, and Cesar A. Hidalgo. “Optimal diversification strategies in the networks of related products and of related research areas.” Nature communications 9, no. 1 (2018): 1328. https://www.nature.com/articles/s41467-018-03740-9